Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (29): 153-160.doi: 10.11924/j.issn.1000-6850.casb20190900631

Previous Articles     Next Articles

Influencing Factors of Grain Production Fluctuation in Hunan Province: Analysis and Prediction

Yang Fanyu1(), Liu Liming1(), Yuan Chengcheng2   

  1. 1College of Land Science and Technology, China Agricultural University, Beijing 100193
    2 China Land Surveying and Planning Institute, Beijing 100035
  • Received:2019-09-09 Revised:2019-11-25 Online:2020-10-15 Published:2020-10-16
  • Contact: Liu Liming E-mail:244388687@qq.com;liulm@cau.edu.cn

Abstract:

The aim is to provide a theoretical basis for predicting the prospect of grain production, improving the efficiency of grain production and ensuring food security. Using the statistical data of Hunan Province, the grey relational analysis method was used to screen the highly relevant influencing factors and a GM (1, N) prediction model was established to predict the grain production. The most influential factors related to the grain production of Hunan in 2008-2017 are the sowing area of grain crops and the total power of agricultural machinery. The scientific and technological factors are the main factors that affect the grain production, followed by natural and social factors. In 2018-2027, the grain production of Hunan has less fluctuation, and the total power of agricultural machinery and the fiscal agricultural expenditure have a greater impact. The total power of agricultural machinery has an important influence on grain production in the past and next ten years, and it is increasingly dominant. To maintain the level of production, it is necessary to attach great importance to the level of agricultural mechanization and steadily increase the sowing area of grain crops.

Key words: grey relational analysis, GM (1,N) prediction model, grain production, influencing factor, Hunan Province

CLC Number: